MRRly supports three data sources: importing historical data from Excel and CSV files and current data from your payments via API.
MRRly allows you to select among your data only those that relate to customers with certain metrics values. You can use both predefined and custom segments.
To assess the effectiveness of your decisions, you can plan your cash flow from customers and check against your current performance.
Using the API you can connect any of your data sources and MRRly prepare them for analysis.
The Monthly Recurring Revenue (MRR) chart reports your normalized (amortized) monthly subscription revenue.
The Customer Lifetime Value show's the total subscription value of a customer.
How MRRly uses the different types of customer status.
The MRR report is the main report on how you earn on your subscriptions. MRRly shows not only the MRR but also the MRR movement.
Cohort report allows you to see the dynamics of changes in your key indicators: revenue, number of customers and users/licenses.
MRRly automatically calculates the basic unit economics metrics for all your payments and breaks them down into time cohorts.
Now you can work with Stripe payments as native.
Speeded up the generation of the unit economic report.
Speeded up dashboard generation.
Correction of current new customer value.
Wrong date in in import crash dashboard.
Started to count cohorts that have only leads and no clients.
Due to parallel requests, duplicate payments were made through the API. Now we have limited the number of requests to 100 per second for each IP.